Qualifications

PhD Information Systems,2026 (University of South Africa)
MSc in Information Systems, 2018 (NUST) 
Postgraduate Diploma in Higher Education,2019 (NUST)
BSc Honours in Computer Science, 2013 (NUST)

Certifications

•    Oracle Certified Professional: Java Developer
•    Oracle Certified Java Programmer
•    Oracle Certified Master
•    Java EE Enterprise Architect
•    IBM Certified Web Services Component Developer
•    IBM Certified Mobile Applications Developer in Worklight
•    IBM Certified Solutions Developer WebSphere Portal 8.0
•    IBM Certified Solutions Developer WebSphere Experience Factory 8.0
•    IBM Certified WebSphere Application Server 8.0 Expert
•    IBM Certified Specialist - InfoSphere Optim for Distributed Systems
•    Fundamentals of Amazon Web Services Certified Solutions Architect

Courses currently teaching

1.    Information System Security and Auditing (SIIS 5204)
2.    Programming for Data Science (SCIDS 5102)
3.    Application Development (SIA2104)
4.    Parallel and Distributed Processing (SIA 2202)

Research Interests

Health Informatics, Artificial Intelligence, Cybersecurity, Digital Transformation

Editorial Roles

Editor of Zimbabwe Institution of Engineers (ZIE)
Guest Editor of Frontiers in Computer Science: CyberSecurity 
Associate Editor of the Journal of Applied Computer & Information Sciences

Workshops and Conferences Attended

•    POTRAZ Write Research Workshop , Kwekwe , 2026
•    South African Institute for Computer Scientists and Information Technologists Conference (SAICSIT) ,Cape Town , 2026
•    FICTA International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), London, United Kingdom, 2026
•    11th International Conference on Information System Design and Intelligent Applications (ISDIA), Dubai, 2025
•    6th International Conference on Data Engineering and Communication Technology (ICDECT 2025), Bhubaneswar, India, 2025
•    ECEL conference 2022 .United Kingdom
•    IST Africa Conference 2022
•    Seventh International Congress on Information and Communication Technology United Kingdom 2022
•    International Conference on Industrial Engineering and Operations Management Nsukka, Nigeria 2022
•    ZCICT conference 2022 Harare, Zimbabwe
•    Springer Nature Author Workshop 22nd of June 2021
•    UNISA School of Computing Academic writing skills Workshop - workshop 6 May 2021
•    IST Africa Conference (10-14 May 2021)

Publications

[1]    B. Ndlovu , “Navigating the shift from digital to AI literacy : reimagining the computer science curriculum for human-AI collaboration in Zimbabwean higher education the computer science curriculum for human-AI collaboration in Zimbabwean higher education,” Cogent Educ., vol. 13, no. 1, p., 2026, doi: 10.1080/2331186X.2026.2710473.

[2]    C. M. Mukwaira, Y. Chigariro, and B. Ndlovu, “An Integrated Cybersecurity Governance Ecosystem for Healthcare : A Quality-Appraised Systematic Review of Governance , Risk , and Compliance Frameworks for AI , Cloud , and Connected Health Technologies,” Scientic Journal of Informatics vol. 13, no. 3, pp. 617–636, 2026, doi: 10.15294/sji.v13i3.49854.

[3]    B. Chimbo, K. Maguraushe, and B. M. Ndlovu, “Immersive equity : virtual reality and agentic  artificial intelligence as catalysts for equity in education,” Front. Educ., no. February, 2026, doi: 10.3389/feduc.2026.1761456.

[4]    B. Mutunhu and B. Chipangura, “Patient Perspectives on Quantified Self Technologies and Healthcare Costs Among Patients with Diabetes in Zimbabwe,” Int. J. Environ. Res. Public Health, vol. 23, no. 5, p. 663, 2026, doi: 10.3390/ijerph23050663.

[5]       B. Ndlovu, K. Maguraushe, and O. Mabikwa, “A Comparative Analysis of Machine Learning Techniques and Explainable AI on Voice Biomarkers for Effective Parkinson’s Disease Prediction,” J. Inf. Syst. Informatics, vol. 7, no. 3, pp. 2196–2228, Sep. 2025, doi: 10.51519/JOURNALISI.V7I3.1172.

[6]    C. Mhlanga and B. Ndlovu, “Sentiment Analysis in Electronic Health Records for Patient-Centric Care : A Systematic Literature Review of Methods , Applications , and Challenges,” vol. 8, no. 2, pp. 1740–1775, 2026, doi: 10.63158/journalisi.v8i2.1554.

[7]    H. Muzenda and B. Ndlovu, “Post-Quantum Migration in the Financial Sector : A Systematic Review of Readiness , Risks , and Transition Frameworks,” J. Inf. Syst. Informatics, vol. 8, no. 2, pp. 1368–1415, 2026, doi: 10.63158/journalisi.v8i2.1477.

[8]    K. Maguraushe and B. M. Ndlovu, “The use of smart technologies for enhancing palliative care: A systematic review,” Digit. Heal., vol. 10, p. 20552076241271836, 2024, doi: 10.1177/20552076241271835.

[9]    B. Ndlovu, Z. Revesai, and M. Kudakwashe, “Cost-Optimised IoT Architecture for Real-Time E-Waste Monitoring with Operational Validation,” J. Inf. Syst. Infor, vol. 8, no. 2, pp. 1590–1616, 2026, doi: doi.org/10.63158/journalisi.v8i2.1553.

[10]     B. Mutunhu, B. Chipangura, and S. Singh, “Towards a quantified-self technology conceptual framework for monitoring diabetes,” South African J. Sci. Technol., vol. 43, no. 1, pp. 69–84, 2024, doi: 10.36303/SATNT.2024.43.1.970.

[11]    Z. Revesai, N. Belinda, and M. Kudakwashe, “Transformer-Based Abstractive Text Summarisation for Real-Time Web Applications : A Browser-Integrated System with REST API Architecture,” J. Appl. Informatics Comput., vol. 10, no. 3, pp. 2254–2268, 2026.

[12]     B. Ndlovu, “Real-Time Water Quality Forecasting Using a Simulation-Driven IoT and Machine Learning Framework for Resource-Constrained Smart Cities,” Water Environ. Sustain., 2026, doi: 10.52293/wes.2026.579804.1125.

[13]    O. T. Chikumo and B. Ndlovu, “Transformer-based Models for Cardiovascular Disease Predictions from Electronic Health Records : A Systematic Review,” J. Appl. Informatics Comput., vol. 10, no. 1, 2026, doi: 10.30871/jaic.v10i1.11899.

[14]    K. L. Chizengwe and B. Ndlovu, “A Systematic Review of Agentic AI for Threat Detection and Mitigation in 5G Networks,” J. Inf. Syst. Informatics, vol. 8, no. 1, pp. 315–354, 2026, doi: 10.63158/journalisi.v8i1.1382.

[15]    B. Ndlovu, F. J. Kiwa, M. Muduva, and C. T. Chipfumbu, “Developing a graph-based machine learning model for identifying money laundering networks associated with sanctioned entities in a bank in Zimbabwe,” vol. 6, no. 1, pp. 35–59, 2026, doi: 10.47540/ijias.v6i1.2306.

[16]    T. Ngwenya and B. Ndlovu, “A Systematic Review of Post-Quantum Cryptography for Healthcare Data Protection : Performance , Readiness , and Deployment Challenges,” J. Appl. Informatics Comput., vol. 10, no. 1, pp. 134–149, 2026, doi: 10.30871/jaic.v10i1.11836.

[17]    C. Razo and B. Ndlovu, “Quantum Computing in Molecular Design and Drug Discovery : A Systematic Literature Review,” J. Inf. Syst. Informatics, vol. 8, no. 1, pp. 110–148, 2026.

[18]    S. S. Sibanda and B. Ndlovu, “Explainable Transformer and Machine Learning Models in Predicting Tuberculosis Treatment Outcomes . A Systematic Review,” J. Appl. Informatics Comput., vol. 10, no. 1, pp. 150–164, 2026, doi: 10.30871/jaic.v10i1.11846.

[19]    T. Mugambiwa and B. Ndlovu, “Multi-Agent Retrieval Augmented Generation for Clinical Decision Support : A Systematic Review and Integrative Conceptual Framework,” J. Appl. Informatics Comput., vol. 10, no. 1, 2026.

[20]    J. Machemedze and B. Ndlovu, “Transformer-Based Models for Electronic Health Records and Omics in Healthcare : A Systematic Literature Review,” J. Appl. Informatics Comput., vol. 10, no. 1, pp. 90–105, 2026, doi: 10.30871/jaic.v10i1.11893.

[21]    B. Ndlovu, “A Personalized Generative AI Model for Diabetes Drug Discovery: Integrating Molecular and Clinical Data Using Variational Autoencoders (VAE),” Indones. J. Comput. Sci., vol. 15, no. 1, pp. 79–100, 2026.

[23]    T. Ngwazi, B. Ndlovu, and K. Maguraushe, “Explainable Deep Learning for Diabetic Retinopathy Detection : A Quantitatively Validated Framework,” J. Appl. Informatics Comput., vol. 10, no. 3, pp. 2534–2545, 2026, doi: 10.30871/jaic.v10i3.12687.

[24]    F. Mutanda and B. Ndlovu, “Small Language Models for Drug-Drug Interaction Extraction from Biomedical Text : A Systematic Literature Review,” J. Inf. Syst. Inf., vol. 8, no. 1, pp. 661–700, 2026, doi: 10.63158/journalisi.v8i1.1430.

[25]    N. Ndlovu and B. Ndlovu, “Explainable Artificial Intelligence in Multimodal Malaria Prediction : A Systematic Review and Roadmap Integrating Climate Change , Parasite Genomics , and Public Health Decision Support,” J. Appl. Informatics Comput., vol. 10, no. 2, 2026, doi: 10.30871/jaic.v10i2.12347.

[26]    K. Maguraushe et al., “( Indonesian Journal of Informatics Education ) Enhancing Education through Leveraging Spatial Computing : A Conceptual Framework,” vol. 9, no. 2, 2025.

[27]    T. Ngwazi, B. Ndlovu, and K. Maguraushe, “Early Detection of Diabetic Retinopathy Through Explainable AI Models : A Systematic Review,” Int. J. Informatics Dev., vol. 14, no. 2, pp. 616–628, 2025, doi: 10.14421/ijid.2025.5200.

[28]    V. A. Muderere, B. Ndlovu, and K. Maguraushe, “Blockchain Adoption in Healthcare : Enhancing Interoperability , Security and Data Exchange,” J. Inf. Syst. Informatics, vol. 7, no. 3, pp. 2939–2977, 2025, doi: 10.51519/journalisi.v7i3.1267.

[29]    B. Ndlovu, K. Maguraushe, and O. Mabikwa, “Machine Learning and Explainable AI for Parkinson’s Disease Prediction: A Systematic Review,” Indones. J. Comput. Sci., vol. 14, no. 2, 2025, doi: https://doi.org/10.33022/ijcs.v14i2.4837.

[30]    B. Ndlovu and K. Maguraushe, “Balancing Ethics and Privacy in the Use of Artificial Intelligence in Institutions of Higher Learning: A Framework for Responsive AI Systems,” IJIE (Indonesian J. Informatics Educ., vol. 9, no. 1, p. 39, 2025, doi: 10.20961/ijie.v9i1.100723.

[31]    B. Ndlovu, F. J. Kiwa, M. Muduva, and C. T. Chipfumbu, “Developing a Logistic Regression Machine Learning Model that Predicts Viral Load Outcomes for Children Living with HIV in Gutu District , Zimbabwe,” Indones. J. Innov. Appl. Sci., pp. 277–304, 2025, doi: 10.47540/ijias.v5i3.2275.

[32]    H. Chamboko, B. Ndlovu, and K. Maguraushe, “Twitter ( X ) Sentiment Analysis on Monkeypox : A Systematic Literature Review,” Int. J. Informatics Dev., vol. 14, no. 2, pp. 629–639, 2025, doi: 10.14421/ijid.2025.5196.

[33]    B. M. Ndlovu, B. Chipangura, and S. Singh, “The readiness to use quantified self-technology : A case of diabetic patients from a hospital in Bulawayo , Zimbabwe,” Digit. Heal., vol. 11, pp. 1–13, 2025, doi: 10.1177/20552076251376286.

[34]    B. Mutunhu, B. Chipangura, and S. Singh, “An Exploration of Opportunities for Quantified-Self Technology in Diabetes Self-Care : A Systematic Literature Review Quantified-Self Technology,” J. Heal. Informatics Africa, vol. 11, no. 2, pp. 17–30, 2024, doi: 10.12856/JHIA-2024-v11-i2-481.

[35]    B. Mutunhu, B. Chipangura, and H. Twinomurinzi, “Internet of Things in the Monitoring of Diabetes,” Int. J. Heal. Syst. Transl. Med., vol. 2, no. 1, pp. 1–20, 2022, doi: 10.4018/ijhstm.300336.

[36]     S. Hadebe, B. Ndlovu, and K. Maguraushe, “Managing Diabetes Using Machine Learning and Digital Twins,” Indones. J. Innov. Appl. Sci., vol. 5, no. 2, pp. 145–162, 2025, doi: 10.47540/ijias.v5i2.1981.

[37]     B. Dube, B. Ndlovu, and K. Maguraushe, “Towards Sustainable Smart Cities: Water Quality Forecasting using Internet of Things,” Water Environ. Sustain., 2025, doi: 10.52293/wes.2025.535555.1086.

[38]    B. Ndlovu, “A Digital Twin–Driven Machine Learning Framework for Diabetes Risk Prediction and Short-Term Health Trajectory Simulation,” Indones. J. Comput. Sci., vol. 15, no. 2, pp. 2157–2181, 2026, doi: 10.33022/ijcs.v15i2.5110.

[39]    V. A. Muderere, B. Ndlovu, and K. Maguraushe, “Framework for Enhancing Interoperability, Data Exchange, and Security in Healthcare through Blockchain Technology,” Indones. J. Comput. Sci., vol. 14, no. 4, 2025, doi: 10.33022/ijcs.v14i4.4950.

[40]    P. Vareta, H. Muzenda, T. Nyamupaguma, Y. Dube, and B. Ndlovu, “The Rise of Quantum Computing and Its Impact on Cybersecurity,” Indones. J. Comput. Sci., vol. 14, no. 6, 2025, doi: 10.33022/ijcs.v14i6.5040.

[41]    P. Maitireni, V. Ncube, B. Ndlovu, and T. Sibanda, “Quantum Computing Cryptography : A Systematic Review of Innovations , Applications , Challenges , and Algorithms,” J. Inf. Syst. Informatics, vol. 7, no. 4, pp. 3668–3710, 2025, doi: 10.63158/journalisi.v7i4.1331.

[42]    R. Selemani, B. Ndlovu, and A. Maphosa, “Temporal Deep Learning for Probabilistic Mutation Forecasting in SARS-CoV-2 Spike Protein Sequences,”  J. Appl. Informatics Comput.vol. 10, no. 3, 2026.

[43]    Z. Revesai, M. Kudakwashe, and N. Belinda, “Deep Learning and XGBoost for Pancreatic Cancer Survival Prediction : A Real-World Evaluation in a Resource-Constrained African Healthcare Setting,” J. Appl. Informatics Comput., vol. 10, no. 3, pp. 2336–2348, 2026.

[44]    M. Moyo and B. Ndlovu, “Towards Cloud-Based Electronic Health Records in Healthcare Systems : Security , Scalability , and Migration Strategies : A Systematic Literature Review,” J. Inf. Syst. Informatics, vol. 8, no. 1, pp. 739–780, 2026, doi: 10.63158/journalisi.v8i1.1431.

[45]    F. M. Dandure and B. Ndlovu, “Federated Learning for Privacy-Preserving Sentiment Analysis in Distributed Electronic Health Record Environments : A Systematic Literature Review,”J. Inf. Syst. Informatics,  vol. 8, no. 2, pp. 1812–1842, 2026, doi: 10.63158/journalisi.v8i2.1546.

[46]    K. Maguraushe, B. Ndlovu, S. Dube, and Z. Revesai, “Interpretable Machine Learning for  Tomato Disease Prediction : A Comparative Study of Explainable AI Techniques,” Intell. Data Eng. Anal. FICTA 2025. Smart Innov. Syst. Technol., vol. 2, pp. 88–99, 2026, doi: 10.1007/978-3-032-18974-5_8.

[47]    M. Moyo and B. N. B, AI-Driven Intrusion Detection Systems : Algorithms , Key Applications , E fficacy ,. Springer Nature Switzerland, 2026.

[48]    A. Dube, B. Mpande, F. Dzehonye, and T. Chazuza, “Zero Trust Architecture : Redefining Security,” pp. 26–39, 2026, doi: 10.1007/978-3-032-20533-9.

[49]    C. Fuyana, B. Ndlovu, S. Dube, K. Maguraushe, and L. Malungana, “Optimizing HIV Care Through Machine Learning-Assisted Prediction and Personalized Treatment,” in Smart Innovation, Systems and Technologies, 2025, vol. 436, pp. 149–161, doi: 10.1007/978-981-96-2124-8_11.

[50]    G. L. Mlauzi, B. Ndlovu, S. Dube, K. Maguraushe, and L. Malungana, Tracking Hospital-Acquired Infections (HAIs), vol. 420. Springer Nature Singapore, 2025.

[51]    B. M. Ndlovu, B. Chipangura, and S. Singh, “Factors Influencing Quantified SelfTechnology Adoption in Monitoring Diabetes,” in Lecture Notes in Networks and Systems, 2024, vol. 1014 LNNS, pp. 469–479, doi: 10.1007/978-981-97-3562-4_37.

[52]    S. Dube et al., “Students’ Perceptions of ChatGPT in Education: A Rapid Systematic Literature Review,” in Lecture Notes in Networks and Systems, 2024, vol. 1019 LNNS, pp. 258–279, doi: 10.1007/978-3-031-62273-1_18.

[53]    B. Mutunhu, B. Chipangura, and H. Twinomurinzi, “A Systematized Literature Review: Internet of Things (IoT) in the Remote Monitoring of Diabetes BT - Proceedings of Seventh International Congress on Information and Communication Technology,” Lect. Notes Networks Syst., vol. 448, pp. 649–660, 2023, doi: https://doi.org/10.1007/978-981-19-1610-6_57.

 [54]     P. Murwirapachena, B. Ndlovu, K. Maguraushe, and M. Dube, “Generative Artificial Intelligence in Drug Discovery for Diabetes: A Systematic Literature Review BT  - Smart Computing Paradigms: Intelligence and Network Applications,” 2026, pp. 111–123.

[55]    K. Ndlovu, B. N. B, and K. Maguraushe, Balancing Privacy and Innovation for Smart Wearables in Healthcare : A Conceptual, vol. 1. Springer Nature Switzerland.

[56]    L. Masuka, K. Maguraushe, and B. N. B, Leveraging Smartwatch Technology in Hypertension Management : A Systematic, vol. 1. Springer Nature Switzerland.

[57]    E. Ncube, B. Ndlovu, and K. Maguraushe, “Spatial Computing : Towards a Virtual Reality and Augmented Reality Framework in Healthcare,” in Smart Computing Paradigms: Advanced Data Mining and Analytics ,SCI 2025. Lecture Notes in Networks and Systems, 2026, vol. 1683, pp. 310–322, doi: 10.1007/978-3-032-08243-5_28.

[58]    Z. Revesai, K. Maguraushe, B. Ndlovu, and S. Dube, “Predictive Modeling and Risk Assessment of Monkeypox Transmission Using Bayesian Networks : An Interpretable Machine Learning Approach,” Bhateja, V., Biju, S.M., Udgata, S.K. Inf. Syst. Des. AI ML Appl. ISDIA 2025. Lect. Notes Networks Syst., vol. 1565, pp. 281–296, 2026, doi: 10.1007/978-981-95-0375-9_2

[59]    Z. Revesai, K. Maguraushe, B. Ndlovu, and S. Dube , Machine Learning Techniques for Monkeypox Prediction, Innovation in Africa for Industry 4.0 AI, Data Analytics and Digital Transformation , Routledge, Taylor and Francis,https://doi.org/10.1201/9781003637714Z. 

[60]    B. Ndlovu, Z. Revesai, and M. Kudakwashe, “Cost-Optimised IoT Architecture for Real-Time E-Waste Monitoring with Operational Validation,” J. Inf. Syst. Infor, vol. 8, no. 2, pp. 1590–1616, 2026, doi: doi.org/10.63158/journalisi.v8i2.1553.

[61]    Z. Revesai, M. Kudakwashe, and N. Belinda, “Deep Learning and XGBoost for Pancreatic Cancer Survival Prediction : A Real-World Evaluation in a Resource-Constrained African Healthcare Setting,” vol. 10, no. 3, pp. 2336–2348, 2026.

[62]    Z. Revesai, N. Belinda, and M. Kudakwashe, “Transformer-Based Abstractive Text Summarisation for Real-Time Web Applications : A Browser-Integrated System with REST API Architecture,” vol. 10, no. 3, pp. 2254–2268, 2026.

[63]    Z. Revesai and B. Ndlovu, “A low-cost IoT and machine learning enabled automated irrigation system for precision agriculture in resource-constrained environments,” 2025 4th Zimbabwe Conf. Inf. Commun. Technol., no. November, pp. 1–8, 2025, doi: 10.1109/ZCICT67553.2025.11502667.

[64]    B. Ndlovu, “Towards inclusive learning in Zimbabwe : A dynamic learning platform based on Natural Language Processing and Machine Learning for learners with dyslexia,” 2025 4th Zimbabwe Conf. Inf. Commun. Technol., no. November, pp. 1–8, 2025, doi: 10.1109/ZCICT67553.2025.11502710.

[65]    Z. Revesai, B. Ndlovu, and M. Madyembwa, “IoT-driven precision agriculture : enhancing maize growth through optimizing temperature and moisture sensors,” 2025 4th Zimbabwe Conf. Inf. Commun. Technol., no. November, pp. 1–9, 2025, doi: 10.1109/ZCICT67553.2025.11502659.

[66]    Z. Revesai and B. Ndlovu, “Precision agriculture : enhancing sustainable tomato production through an IoT-powered tomato leaf disease surveillance system,” 2025 4th Zimbabwe Conf. Inf. Commun. Technol., no. November, pp. 1–9, 2025, doi: 10.1109/ZCICT67553.2025.11502618.

[67]    S. T. Shonhai, M. Dzinomwa, B. Ndlovu, and C. Chivasa, “G lucocare : ‘ a web -based mhealth application with chatbot technology and community support for enhancing diabetes care in developing countries ,’” 2025 4th Zimbabwe Conf. Inf. Commun. Technol., no. November, pp. 1–9, 2025, doi: 10.1109/ZCICT67553.2025.11502607.

[68]    A. Maramba and B. Ndlovu, “AI-Driven Threat and Incident Detection in Healthcare Cybersecurity : A Stacked Ensemble Model,” 2025 4th Zimbabwe Conf. Inf. Commun. Technol., no. November, pp. 1–9, 2025, doi: 10.1109/ZCICT67553.2025.11602039.

[69]    R. Sibanda, B. Ndlovu, S. Dube, and K. Maguraushe, “Towards Health 4 . 0 : Blockchain-Based Electronic Health Record for Care Coordination,” pp. 712–720, 2024, doi: 10.34190/ecie.19.1.2606.

[70]    P. Zhou, B. M. Ndlovu, and S. Dube, “Uncollected Solid Waste Detection and Reporting Using Machine- learning and Geotagging,” pp. 862–869, 2024.

[71]    H. B. Ncube, B. M. Ndlovu, S. Dube, and Maguraushe Kudakwashe, “Blockchain-Based Fraud Detection System for Healthcare Insurance Claims,” no. 2023, pp. 540–547, 2024, doi: 10.34190/ecie.19.1.2558.

[72]    S. Dube, B. Ndlovu, and S. P. Dube, “A Conceptualized Framework of University Students’ Perceptions of ChatGPT as a Tool for Learning and Research,” Eur. Conf. Educ. 2024 Off. Conf. Proc., pp. 325–339, 2024, doi: 10.22492/issn.2188-1162.2024.26.

[73]    S. Dube, S. Sibanda, and B. Ndlovu, “An Investigation Into the Health Workers Perceptions on the Adoption of Chatbots in Medical Treatment: A Case of Bulawayo Hospital,” Eur. Conf. Aging Gerontol. 2024 Off. Conf. Proc., pp. 59–74, 2024, doi: 10.22492/issn.2435-4937.2024.6.

[74]    S. Moyo, P. Nyoni, B. Ndlovu, S. Dube, C. Sibanda, and M. Dzinomwa, “Assessment of Students’ Experiences and Viewpoints in Using Chatbots for Education Practice: A University Case of a Developing Country,” 2024, doi: 10.22492/issn.2188-1162.2024.59.

[75]    K. Mapfumo, L. Masuka, E. R. Ncube, and B. Ndlovu, “Exploring the Factors Influencing the Adoption of Virtual Reality and Augmented Reality in Education,” 2024, doi: 10.46254/EU07.20240166.

[76]    M. Sibindi et al., “A Predictive Model for Personalized Healthcare Management for Patients with Chronic Diseases,” 2024, doi: 10.46254/EU07.20240164.

[77]    R. Ndlovu, K. Ndlovu, S. Chivunga, L. Mkwebu, B. Ndlovu, and S. Dube, “Exploring the Transformative Effects of Artificial Intelligence and its Impact on Educational Practices,” 2024, doi: 10.46254/EU07.20240185.

[78]    K. R. Ndhlovu, P. Nyoni, B. Ndlovu, and S. Dube, “Empowering Artisanal Miners through Innovative Wearable Technology : A Smart Helmet Approach,” no. Mutunhu 2022, 2024, doi: 10.46254/EU07.20240076.

[79]    R. Mayeni, S. Dube, B. Ndlovu, and M. Maduva, “A Novel Ensemble-based Machine Learning Model for Anomaly Detection in CDRs to Identify International Revenue Share Fraud,” 2024, doi: 10.46254/EU07.20240070.

[80]    T. Kapuya, W. Kubiku, M. Dube, and T. Mukudu, “Ethical AI Frameworks : Balancing Privacy , Consent and Responsible Use,” no. Landi, 2024, doi: 10.46254/EU07.20240168.

[81]    T. Tauro, B. Ndlovu, B. Ndlovu, and F. J. Kiwa, “Mental Health Chatbot for University Students Support and Encouragement,” 2024, doi: 10.46254/EU07.20240156.

[82]    A. Z. Mnkandla, B. Ndlovu, S. Dube, P. Nyoni, and F. J. Kiwa, “Loan Eligibility System Using Machine Learning,” 2024, doi: 10.46254/EU07.20240079.

[83]    B. Ndlovu and S. Dube, “Factors Influencing the Adoption of Artificial Intelligence in Smart Agriculture Factors Influencing the Adoption of Artificial Intelligence in Smart Agriculture,” no. October, 2024, doi: 10.46254/EU07.202400.

[84]    M. Dube, S. Dube, and B. Ndlovu, “Factors Influencing the Adoption of AI Chatbots By Non- Governmental Organizations,” 2024, doi: 10.46254/EU07.20240155.

[85]    N. W. Chiramba, B. Ndlovu, S. Dube, F. Jacqueline, and M. Muduva, “Optimizing Antiretroviral Therapy (ART) Adherence Through Predictive Analytics Using Machine Learning Techniques,” IEOM, vol. 2021, no. July, 2024, doi: 10.46254/sa05.20240195.

[86]    P. Jhamba, B. Ndlovu, S. Dube, M. Muduva, and F. Jacqueline, “A Blockchain-based Patient Portal for Mental Health Management,” 2024, doi: 10.46254/AF05.20240251.

[87]    L. Mpofu, B. Ndlovu, S. Dube, M. Muduva, F. Jacqueline, and K. Maguraushe, “Predictive Model for Hospital Readmission of Diabetic Patients,” 2024, doi: 10.46254/af05.20240252.

[88]    B. M. Ndlovu, N. Maphosa, and S. Dube, “Virtual Reality (VR) Simulation of Chemistry Lab Using Blender and Unity,” IAFOR Conf. Educ. Res. Innov. 2023 Off. Conf. Proc., no. June, pp. 101–109, 2023, doi: 10.22492/issn.2435-1202.2023.8.

[89]    B. Ndlovu, Z. T. Migioni, S. Dube, and P. Nyoni, “Betr Selektr: A University Program Recommender System Utilising Personality Type and Academic Results,” Barcelona Conf. Educ. 2023 Off. Conf. Proc., no. November 2023, pp. 701–715, 2023, doi: 10.22492/issn.2435-9467.2023.55.

[90]    Z. Revesai, M. Dzinomwa, B. Ndlovu, P. Nyoni, and S. Dube, “Customer Churn Analytics using Classical Machine Learning Algorithms and Deep Neural Networks: A Case of Zimbabwe Banks,” no. 2021, pp. 60–70, 2023, doi: 10.46254/ap04.20230040.

[91]    N. W.C Mukura and B. Ndlovu, “Performance Evaluation of Artificial Intelligence in Decision Support System for Heart Disease Risk Prediction,” in Proceedings of the 4th Asia Pacific Conference on Industrial Engineering and Operations Management, 2023, no. 2018, pp. 83–93, doi: 10.46254/ap04.20230043.

[92]    S. Dube, B. Mutunhu, and S. P. Dube, “Lecturers’ Experiences in Teaching STEM Courses Online During COVID-19: Case of a Zimbabwean University,” IAFOR Conf. Educ. Res. Innov. 2023 Off. Conf. Proc., no. July, pp. 53–65, 2023, doi: 10.22492/issn.2435-1202.2023.5.

[93]    W. T. Mpofu, B. Ndlovu, S. Dube, and J. Mutengeni, “Pothole Detection and Reporting System Using Deep Learning,” pp. 48–59, 2023, doi: 10.46254/ap04.20230038.

[94]    N. Ncube, B. Mutunhu, and K. Sibanda, “Land Registry Using a Distributed Ledger,” in 2022 IST-Africa Conference (IST-Africa), 2022, pp. 1–7, doi: 10.23919/IST-Africa56635.2022.9845584.

[95]    B. Mutunhu, S. Dube, N. Ncube, and S. Sibanda, “Cyber Security Awareness and Education Framework for Zimbabwe Universities: A Case of National University of Science and Technology,” Proc. Int. Conf. Ind. Eng. Oper. Manag. Nsukka, Niger., pp. 5–7, 2022, [Online]. Available: https://ieomsociety.org/proceedings/2022nigeria/111.pdf.

[96]    N. Moyo, S. Moyo, and B. Mutunhu, “Mask-Up: A Face Mask Alert App Using Machine Learning,” 2022 IST-Africa Conf. IST-Africa 2022, pp. 1–8, 2022, doi: 10.23919/IST-Africa56635.2022.9845517.

[97]    S. Chishakwe, N. Moyo, B. M. Ndlovu, and S. Dube, “Intrusion Detection System for IoT environments using Machine Learning Techniques,” 2022 1st Zimbabwe Conf. Inf. Commun. Technol. ZCICT 2022, pp. 1–7, 2022, doi: 10.1109/ZCICT55726.2022.10045992.

[98]    J. Mutengeni, A. Musasa, and B. Mutunhu, “Local Area Network Based Collaboration Using Distributed Computing,” 2022 1st Zimbabwe Conf. Inf. Commun. Technol. ZCICT 2022, pp. 1–7, 2022, doi: 10.1109/ZCICT55726.2022.10045858.

[99]    B. Mutunhu, S. Dube, S. P. Dube, and S. Mpofu, “A Framework for Transitioning to Virtual Classes During Life-Threatening Pandemics Like COVID-19,” Eur. Conf. e-Learning, vol. 21, no. 1, pp. 279–287, 2022, doi: 10.34190/ecel.21.1.900.

[100]    E. Shumba, B. M. Ndlovu, S. Nleya, and N. Moyo, “An assessment of Internet of Things (IoT) adoption readiness in water and sanitation in Zimbabwe. A Case of the City of Gweru,” in 2022 1st Zimbabwe Conference of Information and Communication Technologies (ZCICT), 2022, pp. 1–8, doi: 10.1109/ZCICT55726.2022.10045922.

[101]    B. Mutunhu, T. Nyathi, and S. Dube, “An analysis on the adoption of high-performance computing (HPC): A case of Zimbabwe state universities,” in 2021 IST-Africa Conference, IST-Africa 2021, 2021, pp. 1–8.

[102]    T. Nyathi, S. Dube, K. Sibanda, and B. Mutunhu, “Poultry contractual farming decision support system,” in 2013 IST-Africa Conference and Exhibition, IST-Africa 2013, 2013, pp. 1–8.

[103]    K. L. Chizengwe and B. Ndlovu, “A Systematic Review of Agentic AI for Threat Detection and Mitigation in 5G Networks,” J. Inf. Syst. Informatics, vol. 8, no. 1, pp. 315–354, 2026, doi: 10.63158/journalisi.v8i1.1382

[104]     Razo, C.; Ndlovu, B. A Hybrid Quantum-Classical Workflow for Early-Stage Molecular Discovery : A Workflow-Level Proof-of-Concept. Sci. J. Informatics 2026, 13, 727–742.

[105]      Muduva, M.; Chipfumbu, C.T.; Kiwa, F.J.; Masengu, R.; Kelvin, T.; Ndlovu, B.M.; Garwi, J. Big    Data and Indigenous Knowledge Systems : Bridging Ubuntu Philosophy with Green Governance;   Emerald Group Publishing Limited; ISBN 9781837422685. 

[106]    B. Ndlovu and K. Maguraushe, “Leveraging Internet of Things and Artificial Intelligence in Smart Agriculture to Enhance Food Security and Sustainable Farming : A Systematic Review,” Sci. J. Informatics, vol. 13, no. 3, pp. 651–672, 2026, doi: 10.15294/sji.v13i3.49540